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Deployment of ROBOT for HVAC duct and Disaster Management

Pankaj Bhambri1* , Manpreet Singh1, Inderjit Singh Dhanoa2 and  Mrityunjay Kumar1

1Department of Information Technology, Guru Nanak Dev Engineering College, Ludhiana India.

2Department of Computer Science and Engineering, Guru Nanak Dev Engineering College, Ludhiana India.

Corresponding Author E-mail: pkbhambri@gmail.com

DOI : http://dx.doi.org/10.13005/ojcst15.010203.01

Article Publishing History
Article Received on : 28 Aug 2022
Article Accepted on : 28 Oct 2022
Article Published : 01 Nov 2022
Plagiarism Check: Yes
Reviewed by: Dr. E.S. Shamila
Second Review by: Dr. Jyotir Moy Chatterjee
Final Approval by: Dr Hossein Ghodosi
Article Metrics
ABSTRACT:

The SBM Robot is a manually operated robot focused on the Internet of Things and the robot operating system. The system is focused on washing and maintenance. The robot is controlled by an android app that uses the Google Real Time Firebase database to control the robot. HVAC duct is small in size and cleaning and repairing the duct is a very difficult task for humans, but it's easy to robot, robot goes inside the duct, and inspects and cleans the duct. Like similar, ships use fuel, oils, sludge, sewage, water and other fluids stored in tanks.

KEYWORDS: Internet of Things; SBM Robot

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Bhambri P, Singh M, Dhanoa I. S, Kumar M. Deployment of ROBOT for HVAC duct and Disaster Management. Orient.J. Comp. Sci. and Technol; 15(1,2,3).


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Bhambri P, Singh M, Dhanoa I. S, Kumar M. Deployment of ROBOT for HVAC duct and Disaster Management. Orient.J. Comp. Sci. and Technol; 15(1,2,3). Available from: https://bit.ly/3FHsf1M


Introduction

The SBM (Swachh Bharat Mission) Robot is a robot centred device manually operated internet with a head. The arm used in our robot has a low-cost arm with a good quality acrylic sheet. The word used for a mechanical device is the number of independent parameters that describe its structure called DOF (Degrees of Freedom). Once a robot arm is built, the DOF is known to be connected to roll, yaw, and pitch. The arm has 3 DOF for cleaning and maintenance operations with optimum precision 1-10.

Figure 1: Robot Architecture

Click here to View Figure 

This Robotics Arm consists of three axes of rotation and three joints. In which one twisting joint and the other two are revolute joint. This arm mounted on chassis and chassis has consisted four wheels. All-wheel is connected with Direct Current (DC) motors. All robotic joints connected with the servo motor. Pi camera used for camera feedback and streaming status of the tank/tube. A multi-gas analyzer is used for detecting the percentage of oxygen and the availability of toxic gases 11-24. All DC motor, servo motor, multi-gas analyzer, and the pi camera is controlled by Raspberry pi microcontroller. The robot is controlled by the web applications and android applications through the Internet of Things. The Raspberry Pi is connected with Google firebase which is connected to the android application and web application. Android application sends a command to the raspberry pi and raspberry controls the robot 25-34

Project Category

Robots are an technological and research facility that incorporates Mechanical Engineering, Electrical Engineering, Computer Science, Information Technology and is still in the evolving sector as it has developed in the past 10 years and is near to the point of departure. It’s an ever-expanding field, and in the past, many paths have been opened. The robot pledge is simple to describe, but complicated to comprehend. A robot is a smart agent or agent that can perform tasks automatically or in a directory, usually with remote control. It is usually an electronic machine that is controlled by computers and electronic systems when operating a robot. Robots promise to move and convert objects as easily as a computer system converts data. But the gray area remains wide when it comes to research awareness in the field of robotics and automation. Sooner or later, robotics and automation can be seen in any area of human life. Advances in development will carry the day of robotics through. They will quickly switch anywhere from the tools to the clothing and even our own heads. In view of the increasing need for automation, machine vision should become a pioneering technology of the future. Industrial automation and robotics are in high demand in the market because they have a strong effect on the development of the business. Simple and advanced mechanical robots are used for precise and reliable research in these industries. The use of sensors has allowed the ability of industrial robots to be increased. Vision sensors are used to provide visual information to help control robots. The robot controller uses the knowledge derived from the target and the simulation software to guide the robot arm to reach, retain and steer the target. A photo is worth more than 10,000 characters. Image processing has been the most popular and most efficient new technology. Machine vision is expected to be a pioneer in future technology. Computer vision provides power to perceive and control any entity around it. The two main goals of automation of the production cycle of the automotive sector are to maintain efficiency and rising unit costs. The focus is on the technical details and location of the selected robots. In order to upgrade and repair the component, it is necessary to ensure the consistency of the goods and to ensure a smooth and reliable processing pace that allows the development of the full performance. Color is also the most popular attribute that distinguishes between items, sorting, viewing, and monitoring 35-37.

Objectives

Major set of objectives are as below:

To Construct the IoT (Internet of Things) based mini robot

To Deploy the robot for HVAC (Heating, Ventilation and Air-Conditioning) duct and disaster management

To Deploy the robot for ships tanks

Need of the Project

Effective solution of this problem is critical to avoid:

Time delays in inspecting, cleaning and repairing tanks/duct

Accidents which still occur inside the tanks on board ships.

Manpower cost.

Existing System

At the moment, the problem is being solved by letting air into the tanks and having people wear protective gear. But the ambience in the tanks is still not good enough and continues to put people’s health at risk. Before trying to make admittance for tank cleaning, the following steps are taken:

The fluids in the tank should indeed be taken out as soon as possible and completely before going into the tank.

Ventilate the tank thoroughly or use forced ventilation to make it safe for people to enter.

Before getting to the person, the surroundings of the tank is inspected for the amount of oxygen and any poisonous gases. This needs to be done from a distance; if this is not possible, the person who goes into the tank must dress up a breathing device to test the air quality.

Various rates and compartments of the tank are checked for the amount of oxygen and the presence of poisonous gases. A multi-gas analyzer shall be used and an evaluation shall be carried out by an individual who is qualified and has experience of the usage of these devices. When the tank has been made secure for man to join, staff reaches the tank and carries out washing, testing, maintenance, etc. Living inside such tight areas is dangerous, given all health measures.

Proposed System

You can solve the problem by making a device like a robot with the succeeding attachments:

A gas analyzer to check how much oxygen is in the air and if there are any toxic gases;

A camera to look inside the tank and look for problems;

A cleaning attachment.

Fix the joints.

Tools for Checking Quality

The robot should be able to work reliably on a ship & be able to go inside the tanks & reach every part of them. It should be able to be programmed to move horizontally, vertically, change speed, move in a single or multiple stages at any length & angle range, etc. It should be small enough to fit on a ship and light enough to carry. The way it’s fixed should match how things are done on the ship.

Unique Features of the System

The system reduces the accident of cleaning and inspection of ships tanks and HVAC duct, and it also reduce the manpower cost.

System Design and Fabrication

The SBM robot is indeed a type of portable robot with an arm that works like a human arm and can usually be programmed. The hand can be the whole device or it can be a component of a larger robot. The links of this kind of manipulator are linked by joints that let them move either in a circular motion or in a linear motion. The way the manipulator works can be thought of as a kinematic chain. The last part of the manipulator’s kinematic chain is called the “end effector,” and it looks like an eye. We used three servo motors while building the arm since our construction enables mobility across all three dimensions. There is a servo motor at the foundation that enables the circular movement of the whole structure; the other two at the shoulder and elbow to enable the upward and downward movement of the limb. The serial arm is a three-degree device of independence. Three DOF regulates the location of the arm in the Cartesian vacuum, one for the direction of the wrist and one additional servo for the actuation of the final effector. The robot characteristics in the control Interface or teaching pendant are the foundation rotating, the arm, the elbow, the wrist rotate and the end effector. The foundation of the robotic arm is made of iron, while the ties are made of aluminium clips and iron. The serial manipulator uses 1 x frame, 1 x arm, 1 x elbow and 1 x handle. Servo motors operate as actuators for different joints. Such engines have a 180-degree rotation in the clockwise direction. The engines are powered by the raspberry pi microcontroller board upon receipt of commands from the host machine via Universal Serial Bus (USB) cable.

Connectivity

Raspberry Pi is linked to the Internet through Local Area Network (LAN) and Personal Computer (PC) which are connected to the Internet by LAN or Wi-Fi. Raspberry Pi is directly attached to the robot arm and RJ45port is connected to the LAN network, enabling the user to track and power over the Internet by entering the domain.

Figure 2: Block Diagram of Connectivity

Click here to View figure 

Information about the two-way contact is sent to the computer, and when the web page is used, python code is run on the domain controller as it continues to follow the route, so that the impacts can be shown on the server side. This method would be based on an algorithm that was made to get rid of the entity. Pi sends the signal to the robot that tell it how to move, which lets the head move. Simple Robotic Cognitive Automation (RCA) Exit can also be used to show the value of Pi. Raspberry Pi store information in a database, and the data it collects can be used to move the robot arm precisely. Applications which are built with both hardware & software features are linked to make a stable device. Figure 2 is the Block Network Circuit.

Methodology

Today, people want robots with high precision, high output, & no mistakes. Robots are better at doing precise or repetitive work. For a robot, a sensor and camera is basic decency for machine-like image analysis to detect and recognize an object as well as its characteristics, which helps it do a task that needs to be done. Using a camera & image computation in raspberry pi, a robotic arm can choose an object based on its colour, such as Red, Green, or Blue. The primary objective of the project is to create a robot that can pick up a certain object and put it in a different section based on its colour. Raspberry Pi has been used in a lot of different and useful ways in robotic systems. Raspberry Pi doesn’t have any of the usual motor coordination peripheral devices built in, and it costs very little. The Python code for making a mechanical arm with image analysis and a local webpage with a slider to change the position of a servo motor has been written. For industrial purposes, the robot can help separate and sort objects by colour.

Virtual Design of Robotic Arm

Figure 3: Robot Arm in RViz

Click here to View Figure 

Robotic arm is created virtually in RViz using URDF file which are written in XML. It contains URDF macro and URDF xacro macro. Arm has 3 DOF which is tested using python program through ROS. Arm has 3 joint which is controlled by joint_state_publisher.

Transformation Tree of Robot

Transformation tree of a robot is defined as robot design description which component is used in robot design. In this case robot use slam technology using slam_gmapping for map creation and location finding in inspection process. It also contains laser and sensor which give information about the area as like unwanted objects and gases (percentage of oxygen and availability of the toxic gases).

Figure 4: Transformation Tree of the Robot

Click here to View figure 

Figure 5: rqt_graph of the system

Click here to View Figure 

rqt_graph of the system

rqt_graph creates a dynamic graph of what’s going on in the system. Oval represents ROS node and arrow represents ROS topic of the system. In this graph all publisher and subscriber are shown, and also shown which ROS node is subscribe/publish which node through which topic.

SBM Robot

SBM robot has a wheel and an arm and these equipments are displayed in Figure 6. Arm has a gripper which holds the repairing tools to perform various tasks in the HVAC duct and Ships. Robot front end has contains a camera which is give live camera feedback and also take picture of the location.

Figure 6: SBM Robot

Click here to View Figure 

Conclusion

After five times translocation and replication from two forms of links (LAN and WAN), Raspberry Pi effectively regulates the robot neck. This implies that the use of Raspberry Pi is recommended to monitor and control robot’s arm via website. With this method, the results of the test outcome will be applied on a wider scale in manufacturing equipment for other considerations: the weight and density of the items to be moved; the reliability of the position of the robot arm; and the style of contacts that occurred. In the upcoming work, this result will be established and restudied in order to have it applied in large scale implementation including the solution to the time delay due to the relation forms. All and all, the benefit of this program is that it will assist people in finding such items for example hazardous chemical compounds or artefacts quickly, rapidly, and effectively.

Future Scope

The robot is the most growing technology in future because of industry 4.0 revolution and the COVID19 effect. Due to COVID19 effect maximum work are done via remotely. So, conclusion of that the work which is not done via a remote location is done by the robot which is communicated through the internet of thing. So, Future scopes of the project are:

Used in disaster condition

Inspection of bore-well and repairing of bore-well

Inspection and repairing of large fuel tanks

Used is military operations

Used in inspection of patient condition of corona patient in isolation centre without direct contact of patients

References

  1. Dragusu.M, (2012)” Practical applications for robotic arm by using image processing” system theory, control and computing (ICSTCC), 16th international conference.
  2. V.Pereira,( 2014)”Low-cost object sorting robotic arm using raspberry pi” Global Humanitarian Technology Conference-South Asia Satellite(GHTC-SAS), IEEE.
    CrossRef
  3. C.Theiss.Steinhagen and I.Iossifidis,( 2001)”Image processing methods for interactive robot control”, proceedings 10th IEEE International Workshop on a robot and human interactive communication.
  4. Vijayalaxmi, K.Anjali, B.Srujana, P.Rohith Kumar(CTCNSF-2014) “Object Detection and Tracking using Image Processing” Electronics and Communications Global Journal of Advanced Engineering Technologies, Special Issue.
  5. R.Szabo,( 2012)”Automated colored object sorting applications for robot arms” Electronics and Telecommunication (ISETC), 10th International Symposium.
    CrossRef
  6. P.Ashish and CharuBhartiya,( April-2015) “Image Processing Based Rose Harvesting System using Raspberry Pi” Electronics International Journal of Engineering Research & Technology (IJERT)Vol. 4.
    CrossRef
  7. AartiS.Hajari and SaakshiA.shankarpurkar. (2012) “Personal Computer-Based Robotic Arm with Vision” International Journal of Image Processing and Vision Sciences(IJIPVS).
    CrossRef
  8. Melvin Abraham C, R.Jegan and Shobhitha Ann JOB(may 2013.) “OWI535EDGE Robotic Arm Control ElectroMyoGram (EMG)Signals” International Journal of Innovative Technology and Exploring Engineering(IJITEE)VOL-2.
  9. Rani, S., Bhambri, P., & Chauhan, M. (2021, October). A Machine Learning Model for Kids’ Behavior Analysis from Facial Emotions using Principal Component Analysis. In 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT) (pp. 522-525). IEEE.
    CrossRef
  10. Bhambri, P., & Chhabra, Y. (2022). Deployment of Distributed Clustering Approach in WSNs and IoTs. In Cloud and Fog Computing Platforms for Internet of Things (pp. 85-98). Chapman and Hall/CRC.
    CrossRef
  11. Kshirsagar, P. R., Jagannadham, D. B. V., Ananth, M. B., Mohan, A., Kumar, G., & Bhambri, P. (2022, May). Machine learning algorithm for leaf disease detection. In AIP Conference Proceedings (Vol. 2393, No. 1, p. 020087). AIP Publishing LLC.
    CrossRef
  12. Bhambri, P., Aggarwal, M., Singh, H., Singh, A. P., & Rani, S. (2022). Uprising of EVs: Charging the Future with Demystified Analytics and Sustainable Development. In Decision Analytics for Sustainable Development in Smart Society 5.0 (pp. 37-53). Springer, Singapore.
    CrossRef
  13. Mohanta, H. C., Geetha, B. T., Alzaidi, M. S., Dhanoa, I. S., Bhambri, P., Mamodiya, U., & Akwafo, R. (2022). An Optimized PI Controller-Based SEPIC Converter for Microgrid-Interactive Hybrid Renewable Power Sources. Wireless Communications and Mobile Computing, 2022.
    CrossRef
  14. Rani, S., Bhambri, P., & Gupta, O. P. (2022). Green Smart Farming Techniques and Sustainable Agriculture: Research Roadmap towards Organic Farming for Imperishable Agricultural Products. In Handbook of Sustainable Development through Green Engineering and Technology (pp. 49-67). CRC Press.
    CrossRef
  15. Gupta, O. P., & Kaur, S. (2016). Ortholog and Paralog Detection using Phylogenetic Tree Construction with Distance based Methods. International Journal of Computer Science and Information Security, 14(10), 886.
  16. Tandon, N., & Bhambri, P. (2017). Classification Technique for Drug Discovery in Medical Image Processing. International Journal of Advanced Research in Computer Science, 8(7).
    CrossRef
  17. Anand, A., & Bhambri, P. (2018). Character Recognition System using Radial Features. International Journal on Future Revolution in Computer Science & Communication Engineering, 4(4), 599-602.
  18. Bhambri, P., Bagga, S., Priya, D., Singh, H., & Dhiman, H. K. (2020). Suspicious Human Activity Detection System. Journal of IoT in Social, Mobile, Analytics, and Cloud, 2(4), 216-221.
    CrossRef
  19. Jain, A., Singh, M., & Bhambri, P. (2021, August). Performance evaluation of IPv4-IPv6 tunneling procedure using IoT. In Journal of Physics: Conference Series (Vol. 1950, No. 1, p. 012010). IOP Publishing.
    CrossRef
  20. Sangwan, Y. S., Lal, S., Bhambri, P., Kumar, A., & Dhanoa, I. S. (2021). Advancements In Social Data Security And Encryption: A Review. Nveo-Natural Volatiles & Essential Oils Journal| NVEO, 15353-15362
  21. Singh, A. P., Aggarwal, M., Singh, H., & Bhambri, P. (2021). Sketching of EV Network: A Complete Roadmap. In Sustainable Development Through Engineering Innovations: Select Proceedings of SDEI 2020 (pp. 431-442). Springer Singapore.
    CrossRef
  22. Chhabra, Y., & Bhambri, P. (2021). Various Approaches and Algorithms for Monitoring Energy Efficiency of Wireless Sensor Networks. In Sustainable Development through Engineering Innovations (pp. 761-770). Springer, Singapore.
    CrossRef
  23. Bhambri, P., Singh, M., Jain, A., Dhanoa, I. S., Sinha, V. K., & Lal, S. Classification of Gene Expression Data with the Aid of Optimized Feature Selection. Turkish Journal of Physiotherapy and Rehabilitation, 32, 3.
  24. Rani, S., Mishra, R. K., Usman, M., Kataria, A., Kumar, P., Bhambri, P., & Mishra, A. K. (2021). Amalgamation of Advanced Technologies for Sustainable Development of Smart City Environment: A Review. IEEE Access, 9, 150060-150087.
    CrossRef
  25. Shrivastava, A., Rizwan, A., Kumar, N. S., Saravanakumar, R., Dhanoa, I. S., Bhambri, P., & Singh, B. K. (2021). VLSI Implementation of Green Computing Control Unit on Zynq FPGA for Green Communication. Wireless Communications and Mobile Computing, 2021.
    CrossRef
  26. Bhambri, J., & Gupta, O. P. (2014). Dynamic frequency allocation scheme of mobile networks using priority assignment technique. Int. J. Eng. Technol. Innov, 1(1).
  27. Kaur, J., & Bhambri, P. (2019). Various DNA Sequencing Techniques and Related Applications. International Journal of Analytical and Experimental Model Analysis, 11(9), 3104-3111.
  28. Kaur, J., Bhambri, P., & Sharma, K. (2019). Wheat Production Analysis based on Naive Bayes Classifier.
    CrossRef
  29. Sinha, V. K., Jeet2D, R., Bhambri, P., & Mahajan, M. (2020). Empowering Intrusion Detection in IRIS Recognition System: A Review. Journal of Natural Remedies, 21(2), 131-153.
  30. Singh, M., Bhambri, P., Singh, I., Jain, A., & Kaur, E. K. (2021). Data Mining Classifier for Predicting Diabetics. Annals of the Romanian Society for Cell Biology, 6702-6712
  31. Bhambri, P., & Gupta, O. P. (2012). A novel method for the design of phylogenetic tree. Int. J. IT, Eng. Appl. Sci. Res, 1(1), 24-28.
  32. Jasmine, B. P. and Gupta, OP (2012)”Analyzing the Phylogenetic Trees with Tree-building Methods”. Indian journal of applied research, 1(7), 83-85.
    CrossRef
  33. Paika, E. V., & Bhambri, E. P. (2013). Edge Detection-Fuzzy Inference System. International journal of management & Information Technology, 4(1), 148-155.
    CrossRef
  34. Bhambri, P., & Gupta, O. P. (2013). Design of Distributed Prefetching Protocol in Push-to-Peer Video-on-Demand System. International Journal of Research in Advent Technology (IJRAT), 1(3), 95-103.
  35. Kaur, Pradeep, and Pankaj Bhambri. “To Design an Algorithm for Text Watermarking.” Stand. Int. Journals (The SIJ) 3.5 (2015): 62-67.
  36. Chopra, S., Bhambri, P., & Singh, B. (2011). Segmentation of the Mammogram Images to find Breast Boundaries 1.
  37. Kaur, J., Bhambri, P., & Gupta, O. P. (2013). Distance based Phylogenetic Trees with Bootstrapping. International Journal of Computer Applications, 47, 6-10.
    CrossRef

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